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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

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Published on: December 29, 2021

Storing Images in DNA via base128 Encoding.

Kun Wang¹, Ben Cao², Tao Ma³

¹The Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Dalian 116622, China.

Journal of Chemical Information and Modeling

|February 22, 2024

Summary

This summary is machine-generated.

This study introduces DNA-base128 encoding for stable DNA image storage. It enhances data processing, reduces errors, and improves image reconstruction quality.

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Area of Science:

Biotechnology
Data Storage
Bioinformatics

Background:

Current DNA data storage methods struggle with image data's redundancy and correlation.
Existing schemes exhibit low sequence stability and poor image reconstruction rates.

Purpose of the Study:

To propose a novel DNA-based image storage method using base128 encoding.
To enhance the stability and reconstruction accuracy of images stored in DNA.

Main Methods:

Developed DNA-base128 encoding for image data.
Implemented data segmentation, probability statistics, and constraint encoding.
Integrated internal error correction through threshold setting and drift comparison.

Main Results:

Reduced undesired DNA motifs by 71.2-90.7%.
Decreased local guanine-cytosine content variance by 3 times.
Improved structural similarity index (SSIM) and multiscale structural similarity (MS-SSIM) by 19-102% and 6.6-20.3%, respectively.

Conclusions:

DNA-base128 offers a stable and efficient solution for DNA image storage.
The method provides robust internal error correction capabilities.
Achieved superior performance compared to existing DNA data storage techniques.